IEEE AP-S/URSI 2022
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10-15 July 2022 • Denver, Colorado, USA
IEEE AP-S/URSI 2022
10-15 July 2022 • Denver, Colorado, USA
Technical Program
Session TU-A1.1A
TU-A1.1A: Design and Optimization of Antennas using Machine Learning I
Tue, 12 Jul, 08:00 - 11:40 Denver Time (UTC -6)
Location:
Granite A/B/C (HR)
Session Co-Chairs:
Zhi Ning Chen, National University of Singapore and Peiqin Liu, National University of Singapore
Track:
AP-S: Antennas
Tue, 12 Jul, 08:00 - 08:20 Denver Time (UTC -6)
TU-A1.1A.1: Restoration of Antenna Radiation Pattern Using Conditional Generative Adversarial Network
Yi-Huan Chen, Trung Dung Ha, Danilo Erricolo, Pai-Yen Chen, University of Illinois Chicago, United States
Tue, 12 Jul, 08:20 - 08:40 Denver Time (UTC -6)
TU-A1.1A.2: Computationally-Efficient and Reliable Antenna Design within the System-by-Design ML-Based Framework
Andrea Massa, Marco Salucci, Pietro Rosatti, Lorenzo Poli, ELEDIA@UniTN - University of Trento, Italy
Tue, 12 Jul, 08:40 - 09:00 Denver Time (UTC -6)
TU-A1.1A.3: Design of Wideband Mushroom Antennas Using Single- and Multi-Objective Bayesian Optimization
Yunjia Zeng, Xianming Qing, Michael Yan Wah Chia, Institute for Infocomm Research, Singapore
Virtual Presentation
Tue, 12 Jul, 09:00 - 09:20 Denver Time (UTC -6)
TU-A1.1A.4: Robustness Optimization of Nanophotonic Devices Using Deep Learning
Ronald Jenkins, Sawyer Campbell, Pingjuan Werner, Douglas Werner, The Pennsylvania State University, United States
Virtual Presentation
Tue, 12 Jul, 09:20 - 09:40 Denver Time (UTC -6)
TU-A1.1A.5: Machine learning based tandem network approach for antenna design
Aggraj Gupta, Chandan Bhat, Uday Khankhoje, IIT Madras, India; Emir Karahan, Kaushik Sengupta, Princeton University, United States
Coffee Break
Tue, 12 Jul, 10:00 - 10:20 Denver Time (UTC -6)
TU-A1.1A.6: A Deep-Learning Characteristic Modes Classification Model for Patch Antennas
Ricardo E. Sendrea, Constantinos L. Zekios, Stavros V. Geogakopoulos, Florida International University, United States
Tue, 12 Jul, 10:20 - 10:40 Denver Time (UTC -6)
TU-A1.1A.7: Power Pattern to Planar Dipole Array Synthesis Using a Text-to-Image Transformer Based Model
Chen Niu, Puyan Mojabi, University of Manitoba, Canada
Tue, 12 Jul, 10:40 - 11:00 Denver Time (UTC -6)
TU-A1.1A.8: Supervised Machine Learning Model for Accurate Output Prediction of Various Antenna Designs
Sai Sampreeth Indharapu, Anthony N Caruso, University of Missouri - Kansas City, United States; Kalyan C. Durbhakula, University of Missouri kansas city, United States
Tue, 12 Jul, 11:00 - 11:20 Denver Time (UTC -6)
TU-A1.1A.9: A Generalized Approach to Real-Time Performance Estimation of Antenna Types Using Deep Learning
Md Rayhan Khan, Constantinos L. Zekios, Shubhendu Bhardwaj, Stavros V. Georgakopoulos, Florida International University, United States
Virtual Presentation
Tue, 12 Jul, 11:20 - 11:40 Denver Time (UTC -6)
TU-A1.1A.10: Deep Learning based Modeling and Inverse Design for Arbitrary Planar Antenna Structures at RF and Millimeter-Wave
Emir Ali Karahan, Kaushik Sengupta, Princeton University, United States; Aggraj Gupta, Uday K Khankhoje, IIT Madras, India
